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Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models
This paper studies the problem of detecting human beings in non-line-of-sight (NLOS) conditions using an ultra-wideband radar. We perform an extensive measurement campaign in realistic environments, considering different body orientations, the obstacles’ materials, and radar–obstacle distances. We e...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879265/ https://www.ncbi.nlm.nih.gov/pubmed/35214558 http://dx.doi.org/10.3390/s22041656 |